During the period 1970-1999, Rappaport (2000) found that almost 60% of TC-related deaths in the U.S. were due to fresh water floods caused by heavy rainfall. To reduce this statistic, it is important to improve the accuracy of TC rainfall forecasts by examining the spatial distribution of the rain shield about the criculation center of the storm. Previous researchers have investigated TC rainfa...

Local dry/wet conditions are of great concern in regional water resource and floods/droughts disaster risk management. Satellite-based precipitation products have greatly improved their accuracy and applicability and are expected to offer an alternative to ground rain gauges data. This paper investigated the capability of Tropical Rainfall Measuring Mission (TRMM) rainfall data for monitoring t...

Soil erosion is a global issue that threatens food security and causes environmental degradation. Management of water erosion requires accurate estimates of the spatial and temporal variations in the erosive power of rainfall (erosivity). Rainfall erosivity can be estimated from rain gauge stations and satellites. However, the time series rainfall data that has a high temporal resolution are of...

Quantification of spatial and temporal patterns of rainfall is an important step toward developing regional water sewage models, the intensity and spatial distribution of rainfall can affect the magnitude and duration of water sewage. However, this input is subject to uncertainty, mainly as a result of the interpolation method and stochastic error due to the random nature of rainfall. In this s...

A simplified stochastic model based on airmass thunderstorm rainfall data from the 58-square-mile Walnut Gulch Experimental Watershed in south eastern Arizona is being developed at the Southwest Watershed Research Center, Tucson, Ariz. Records from the 95 rain gage network on this watershed pro vide valuable information on airmass thunderstorm rainfall in the Southwestern United States. Proba b...

This study analyzed the spatial distribution of dengue in Rio de Janeiro, Brazil, in 2006, and associations between the incidence per 100,000 inhabitants and socio-environmental variables. The study analyzed reported dengue cases among the city's inhabitants, rainfall, Breteau index (for Aedes aegypti and Aedes albopictus), Gini index, and social development index. We conducted mapping and used...

We present a new algorithm to generate rainfall estimates with the thermal infrared (IR) band. The algorithm merges ancillary passive microwave (PMW) data from SSM/I with IR images to generate rainfall rates at the spatial and temporal resolutions of the IR sensor. Comparison against independent land-GPCC data shows how the algorithm slightly improves the GOES precipitation index (GPI) estimate...

extended abstract introduction rainfall prediction at regional and global scales is mostly as principle component of hydro-meteorological studies in un-gauged regions. ground-based measurements of precipitation are available with high accuracy in synoptic stations. spatial distribution of operational stations is now as one of the biggest problems in the developing countries such as iran, which ...